Journal
BIOMEDICAL OPTICS EXPRESS
Volume 2, Issue 11, Pages 3207-3222Publisher
OPTICAL SOC AMER
DOI: 10.1364/BOE.2.003207
Keywords
-
Funding
- Austrian Science Fund (FWF) [F3207-N18]
- Austrian Science Fund (FWF) [F 3206, F 3207] Funding Source: researchfish
Ask authors/readers for more resources
Image reconstruction in fluorescence optical tomography is a three-dimensional nonlinear ill-posed problem governed by a system of partial differential equations. In this paper we demonstrate that a combination of state of the art numerical algorithms and a careful hardware optimized implementation allows to solve this large-scale inverse problem in a few seconds on standard desktop PCs with modern graphics hardware. In particular, we present methods to solve not only the forward but also the non-linear inverse problem by massively parallel programming on graphics processors. A comparison of optimized CPU and GPU implementations shows that the reconstruction can be accelerated by factors of about 15 through the use of the graphics hardware without compromising the accuracy in the reconstructed images. (C) 2011 Optical Society of America
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available